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75:25. Used different classifiers like Regression, LDA, KNN, SVM, Naive Bayesian, AdaBoost etc. for predict if the stock would go up or down in Python. Used different visualizations for results lik...
應用 & 資料探勘。 • 數位訊號處理 & 前瞻類比積體電路設計。 線上平台: • CS50 - 計算機概論 & Stanford - 演算法 。 • 機器學習基石 & 機器學習技法 • SQL bootcamp & Big Data Analytics Using Spark . 副研究員 , OctMar 2020 TECO Elect...
訊管理 Top Conference Paper Publication Chin-Feng Yu and Hsing-Kuo Pao. "Virtual Adversarial Active Learning." 2020 IEEE International Conference on Big Data (Big
模式,希望能結合資料科學思維模式創造價值 | | | 台北台灣|| [email protected] 學歷 University of Houston . 統計與資料科學碩士 . 2019//12 相關課程: Data Visualization, Data Mining, Deep learning, Neural Network,
Tom Lin Rooted in product development/marketing background, but equipped with data science skills, including Visualization, ML, DL, and Reinforcement Learning. Data Scient...
Laurence Lin Enthusiastic data scientist, willing to bring up AI solutions that would solve human life problems. Highly cooperative teamwork and curious about data insight...
Marketing, Business Intelligence, CRM The main keys to business successes. Apart from the basic theories of management to maintain company operations at functional aspects and its interconnection, ...
AI. I can be a very good team member and supportive leader and do my best to meet the expectations of my organization. Education PES university, Bachelor of Technology (B.Tech), Computer science, 2...
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